Výsledky vyhledávání - "Daniel J. Low"

Akademický článek

Endoscopic retrograde cholangiopancreatography in patients with pancreaticoduodenectomy with and without the use of a rigidizing overtube

Autor: Daniel J. Low, Abraham Yu, Cynthia Liu, Faisal Shaukat Ali, Ahmad Al Nakshabandi, Emmanuel Coronel, Phillip Ge, Jeffrey H. Lee

Publikováno v: International Journal of Gastrointestinal Intervention, Vol 12, Iss 3, Pp 115-122 (2023)

Background : : Surgically altered anatomy remains a challenge when performing advanced endoscopic procedures, including endoscopic retrograde cholangiopancreatography (ERCP). While ERCP maintains a success rate of 90% to 95% in patients with native a

Externí odkaz: https://doaj.org/article/931bb54ddd29495b8991c06952c21f36

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Akademický článek

Automated detection of cecal intubation with variable bowel preparation using a deep convolutional neural network

Autor: Daniel J. Low, Zhuoqiao Hong, Rishad Khan, Rishi Bansal, Nikko Gimpaya, Samir C. Grover

Publikováno v: Endoscopy International Open, Vol 09, Iss 11, Pp E1778-E1784 (2021)

Background and study aims Colonoscopy completion reduces post-colonoscopy colorectal cancer. As a result, there have been attempts at implementing artificial intelligence to automate the detection of the appendiceal orifice (AO) for quality assurance

Externí odkaz: https://doaj.org/article/b66b9033877945069a43c412b5a810c6

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Artificial intelligence implementation in pancreaticobiliary endoscopy

Autor: Daniel J Low, Zhuoqiao Hong, Jeffrey H Lee

Publikováno v: Expert Review of Gastroenterology & Hepatology. 16:493-498

Artificial intelligence has been rapidly deployed in gastroenterology and endoscopy. The acceleration of deep convolutional neural networks along with hardware development has allowed implementation of artificial intelligence algorithms into real-tim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::992219eec495872992714bd868eec8fc
https://doi.org/10.1080/17474124.2022.2083604

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Automated Detection of Bowel Preparation Scoring and Adequacy With Deep Convolutional Neural Networks

Autor: Daniel J Low, Zhuoqiao Hong, Sechiv Jugnundan, Anjishnu Mukherjee, Samir C Grover

Publikováno v: Journal of the Canadian Association of Gastroenterology. 5:256-260

Introduction Adequate bowel preparation is integral to effective colonoscopy. Inadequate bowel preparation has been associated with reduced adenoma detection rate and increased post-colonoscopy colorectal cancer (PCCRC). As a result, the USMSTF recom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c817fea5772167fd160a52132f01b2db
https://doi.org/10.1093/jcag/gwac013

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